Data Engineer / ROR
Indexed description
Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:
- Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions.
- Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs.
- Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow.
- Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs.
Attractive Financial Benefits
Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique:
- A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
- Generous referral bonuses, offering up to PLN6,000 for referring specialists.
- Additional revenue sharing opportunities for initiating partnerships with new clients.
- Ongoing guidance from a dedicated Team Manager for each employee.
- Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.
- Dedicated team-building budget for online and on-site team events.
- Opportunities to participate in charitable initiatives and local sports programs.
- A supportive and inclusive work culture with an emphasis on diversity and mutual respect.
Main Responsibilities
- Design, develop, and maintain scalable data solutions and data pipelines.
- Build and optimize data processing workflows.
- Work with Databricks and Apache Spark to process large volumes of data.
- Develop and maintain data solutions within the Microsoft Azure ecosystem.
- Collaborate with data analysts, architects, and other stakeholders to deliver business value.
- Ensure data quality, performance, and security across data platforms.
- Proven experience as a Data Engineer.
- Hands-on experience with Databricks.
- Experience with Azure Data Processing and Storage Services.
- Practical experience working with Apache Spark.
- Strong knowledge of SQL.
- Experience developing solutions in Python.
- Good understanding of Big Data processing standards, tools, and best practices.
- Proficiency in Polish language.
- English language skills at B2 level or higher.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, or a related field.
- Experience working on Big Data projects utilizing Databricks and Spark.
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